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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GLEJM
Repositorysid.inpe.br/banon/2005/07.15.23.57
Last Update2005:07.15.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.15.23.57.57
Metadata Last Update2022:09.13.03.49.07 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.49
Citation KeyPiresCesaVieiVelh:2005:TrMaCo
TitleTracking and matching connected components from 3D video
FormatOn-line
Year2005
Access Date2024, May 02
Number of Files1
Size402 KiB
2. Context
Author1 Pires, David da Silva
2 Cesar-Jr, Roberto Marcondes
3 Vieira, Marcelo Bernardes
4 Velho, Luiz Carlos Pacheco Rodrigues
Affiliation1 Instituto de Matemática e Estatística da Universidade de São Paulo (IME-USP)
2 Instituto Nacional de Matemática Pura e Aplicada (IMPA)
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressdavidsp@vision.ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:11:01 :: davidsp -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:58 :: administrator -> banon ::
2010-08-28 20:01:20 :: banon -> administrator ::
2022-09-13 03:49:07 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordstracking connected components
matching connected components
3D video
4D video
3D imaging
range image
AbstractThis work presents a method for the detection, tracking and spatial matching of connected components in a 3D video stream. The video image information is combined with 3D sites in order to align pieces of surfaces that are seen in subsequent frames. This is a key step in 3D video analysis for enabling several applications such as compression, geometric integration and scene reconstruction, to name a few. Our approach is to detect salient features in both image and world spaces for further alignment of texture and geometry. We use a projector-camera system to obtain high quality texture and geometry at 30 fps. Successful experimental results corroborating our method are shown. .
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Tracking and matching...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Tracking and matching...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GLEJM
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GLEJM
Languageen
Target Filepiresd_tracking.pdf
User Groupdavidsp
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 7
sid.inpe.br/banon/2001/03.30.15.38.24 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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